Geospatial analysis of births with congenital disorders, Paraná, 2008-2015: ecological study

Detalhes bibliográficos
Autor(a) principal: Freire,Márcia Helena de Souza
Data de Publicação: 2020
Outros Autores: Barros,Ana Paula de Morais Maia, Andrade,Luciano de, Nihei,Oscar Kenji, Fontes,Kátia Biagio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Enfermagem (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020000300169
Resumo: ABSTRACT Objective: analyze the pattern of spatial distribution of the prevalence rate of births with congenital disorders and its relationship with social, economic, health care and environmental indicators in Paraná, Brazil, from 2008 to 2015. Method: ecological study with variables extracted from secondary banks, related to the births of children of mothers residing in Paraná, in two quadrennial (2008-2011 and 2012-2015). The analysis of the rates was performed with univariate spatial (Moran) and multivariate approach (Ordinary Least Squares and Geographically Weighted Regression). Results: the occurrence of congenital disorders presented a significant association (p<0.05) with: registration in primary care of pregnant women over 20 years of age; urbanization degree; consumption of pesticides; and balance of female formal employment. Conclusion/Final considerations: social, health care and environmental variables showed a non-stationary spatial pattern in the analyzed period and influenced positively and negatively the rates.
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spelling Geospatial analysis of births with congenital disorders, Paraná, 2008-2015: ecological studyCongenital DisordersPopulation Spatial DistributionEpidemiologic MethodSpatial RegressionNewbornABSTRACT Objective: analyze the pattern of spatial distribution of the prevalence rate of births with congenital disorders and its relationship with social, economic, health care and environmental indicators in Paraná, Brazil, from 2008 to 2015. Method: ecological study with variables extracted from secondary banks, related to the births of children of mothers residing in Paraná, in two quadrennial (2008-2011 and 2012-2015). The analysis of the rates was performed with univariate spatial (Moran) and multivariate approach (Ordinary Least Squares and Geographically Weighted Regression). Results: the occurrence of congenital disorders presented a significant association (p<0.05) with: registration in primary care of pregnant women over 20 years of age; urbanization degree; consumption of pesticides; and balance of female formal employment. Conclusion/Final considerations: social, health care and environmental variables showed a non-stationary spatial pattern in the analyzed period and influenced positively and negatively the rates.Associação Brasileira de Enfermagem2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020000300169Revista Brasileira de Enfermagem v.73 n.3 2020reponame:Revista Brasileira de Enfermagem (Online)instname:Associação Brasileira de Enfermagem (ABEN)instacron:ABEN10.1590/0034-7167-2018-0741info:eu-repo/semantics/openAccessFreire,Márcia Helena de SouzaBarros,Ana Paula de Morais MaiaAndrade,Luciano deNihei,Oscar KenjiFontes,Kátia Biagioeng2020-04-16T00:00:00Zoai:scielo:S0034-71672020000300169Revistahttp://www.scielo.br/rebenhttps://old.scielo.br/oai/scielo-oai.phpreben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br1984-04460034-7167opendoar:2020-04-16T00:00Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)false
dc.title.none.fl_str_mv Geospatial analysis of births with congenital disorders, Paraná, 2008-2015: ecological study
title Geospatial analysis of births with congenital disorders, Paraná, 2008-2015: ecological study
spellingShingle Geospatial analysis of births with congenital disorders, Paraná, 2008-2015: ecological study
Freire,Márcia Helena de Souza
Congenital Disorders
Population Spatial Distribution
Epidemiologic Method
Spatial Regression
Newborn
title_short Geospatial analysis of births with congenital disorders, Paraná, 2008-2015: ecological study
title_full Geospatial analysis of births with congenital disorders, Paraná, 2008-2015: ecological study
title_fullStr Geospatial analysis of births with congenital disorders, Paraná, 2008-2015: ecological study
title_full_unstemmed Geospatial analysis of births with congenital disorders, Paraná, 2008-2015: ecological study
title_sort Geospatial analysis of births with congenital disorders, Paraná, 2008-2015: ecological study
author Freire,Márcia Helena de Souza
author_facet Freire,Márcia Helena de Souza
Barros,Ana Paula de Morais Maia
Andrade,Luciano de
Nihei,Oscar Kenji
Fontes,Kátia Biagio
author_role author
author2 Barros,Ana Paula de Morais Maia
Andrade,Luciano de
Nihei,Oscar Kenji
Fontes,Kátia Biagio
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Freire,Márcia Helena de Souza
Barros,Ana Paula de Morais Maia
Andrade,Luciano de
Nihei,Oscar Kenji
Fontes,Kátia Biagio
dc.subject.por.fl_str_mv Congenital Disorders
Population Spatial Distribution
Epidemiologic Method
Spatial Regression
Newborn
topic Congenital Disorders
Population Spatial Distribution
Epidemiologic Method
Spatial Regression
Newborn
description ABSTRACT Objective: analyze the pattern of spatial distribution of the prevalence rate of births with congenital disorders and its relationship with social, economic, health care and environmental indicators in Paraná, Brazil, from 2008 to 2015. Method: ecological study with variables extracted from secondary banks, related to the births of children of mothers residing in Paraná, in two quadrennial (2008-2011 and 2012-2015). The analysis of the rates was performed with univariate spatial (Moran) and multivariate approach (Ordinary Least Squares and Geographically Weighted Regression). Results: the occurrence of congenital disorders presented a significant association (p<0.05) with: registration in primary care of pregnant women over 20 years of age; urbanization degree; consumption of pesticides; and balance of female formal employment. Conclusion/Final considerations: social, health care and environmental variables showed a non-stationary spatial pattern in the analyzed period and influenced positively and negatively the rates.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020000300169
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020000300169
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0034-7167-2018-0741
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Enfermagem
publisher.none.fl_str_mv Associação Brasileira de Enfermagem
dc.source.none.fl_str_mv Revista Brasileira de Enfermagem v.73 n.3 2020
reponame:Revista Brasileira de Enfermagem (Online)
instname:Associação Brasileira de Enfermagem (ABEN)
instacron:ABEN
instname_str Associação Brasileira de Enfermagem (ABEN)
instacron_str ABEN
institution ABEN
reponame_str Revista Brasileira de Enfermagem (Online)
collection Revista Brasileira de Enfermagem (Online)
repository.name.fl_str_mv Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)
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